Dataset Versions
Versions
2023-08-19 1:35pm
v33
· a year ago
2023-07-22 7:22pm
v32
· a year ago
2023-04-07 10:25am
v31
· 2 years ago
2023-02-16 7:06pm
v30
· 2 years ago
2023-02-07 9:54am
v28
· 2 years ago
2023-02-07 9:53am
v27
· 2 years ago
2023-02-06 9:38pm
v26
· 2 years ago
2023-02-06 9:37pm
v25
· 2 years ago
2023-02-06 9:37pm
v24
· 2 years ago
2023-02-06 10:57am
v23
· 2 years ago
2023-02-06 10:54am
v22
· 2 years ago
2023-02-06 10:53am
v21
· 2 years ago
2023-02-05 9:30pm
v20
· 2 years ago
2023-02-05 9:29pm
v19
· 2 years ago
2023-02-05 9:29pm
v18
· 2 years ago
2023-02-05 4:09pm
v17
· 2 years ago
2023-02-05 4:08pm
v16
· 2 years ago
2023-02-05 4:07pm
v15
· 2 years ago
2023-02-05 4:06pm
v14
· 2 years ago
2022-11-30 10:45pm
v13
· 2 years ago
2022-11-30 10:45pm
v12
· 2 years ago
2022-11-30 10:44pm
v11
· 2 years ago
2022-11-29 2:51pm
v10
· 2 years ago
2022-11-29 2:51pm
v9
· 2 years ago
2022-11-29 2:50pm
v8
· 2 years ago
2022-11-29 2:05pm
v7
· 2 years ago
2022-11-29 2:05pm
v6
· 2 years ago
2022-11-29 2:05pm
v5
· 2 years ago
2022-11-29 12:13pm
v4
· 2 years ago
2022-11-29 12:05pm
v3
· 2 years ago
2022-11-29 12:05pm
v2
· 2 years ago
2022-11-29 12:05pm
v1
· 2 years ago
v30
2023-02-16 7:06pm
Generated on Feb 16, 2023
Popular Download Formats
YOLOv11
TXT annotations and YAML config used with YOLOv11.
YOLOv9
TXT annotations and YAML config used with YOLOv9.
YOLOv8
TXT annotations and YAML config used with YOLOv8.
YOLOv5
TXT annotations and YAML config used with YOLOv5.
YOLOv7
TXT annotations and YAML config used with YOLOv7.
COCO JSON
COCO JSON annotations are used with EfficientDet Pytorch and Detectron 2.
YOLO Darknet
Darknet TXT annotations used with YOLO Darknet (both v3 and v4) and YOLOv3 PyTorch.
Pascal VOC XML
Common XML annotation format for local data munging (pioneered by ImageNet).
TFRecord
TFRecord binary format used for both Tensorflow 1.5 and Tensorflow 2.0 Object Detection models.
PaliGemma
PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
Other Formats
Choose another format.
506 Total Images
View All Images
Dataset Split
Train Set 81%
408Images
Valid Set 16%
81Images
Test Set 3%
17Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 2
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Exposure: Between -10% and +10%
Blur: Up to 3px